AI-Driven Secure Enterprise Platforms for Cybersecurity Text Analytics and Predictive Intelligence in Retail Banking ERP and Healthcare
DOI:
https://doi.org/10.15662/IJEETR.2023.0506010Keywords:
AI-driven platforms, Cybersecurity, Text analytics, Predictive intelligence, Retail, Banking ERP, Healthcare, Machine learning, Cloud-nativeAbstract
This paper explores the development of AI-driven secure enterprise platforms designed to enhance cybersecurity through advanced text analytics and predictive intelligence across retail, banking ERP, and healthcare sectors. Leveraging natural language processing (NLP) and machine learning techniques, the platform identifies potential security threats, fraud patterns, and operational anomalies in unstructured and structured data. By integrating predictive analytics, the system enables proactive risk mitigation and compliance adherence, improving organizational resilience. The study also discusses cloud-native deployment strategies ensuring scalability and data privacy. Future directions include integrating federated learning and explainable AI to further enhance model transparency and cross-sector applicability.References
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